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Computer Architecture 101 and its Future

Computer Architecture 101 and its Future

Fireside Chat with Simons Institute Director Dick Karp

Fireside Chat with Simons Institute Director Dick Karp

How Do Transformers Work?

How Do Transformers Work?

Is Your Model Predicting the Past?

Is Your Model Predicting the Past?

Simons Institute for the Theory of Computing

Simons Institute for the Theory of Computing

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

Adventures with an Automatic Prover

Adventures with an Automatic Prover

Lower Bounds on the Size of Linear Programs

Lower Bounds on the Size of Linear Programs

Beyond P versus NP: Using Complexity Theory in Obfuscation and Vice-Versa

Beyond P versus NP: Using Complexity Theory in Obfuscation and Vice-Versa

Welcome

Welcome

The Mathematics of Causal Inference, with Reflections on Machine Learning and the Logic of Science

The Mathematics of Causal Inference, with Reflections on Machine Learning and the Logic of Science

Simons Institute for the Theory of Computing at UC Berkeley

Simons Institute for the Theory of Computing at UC Berkeley

Generalization via analogy in young children and Large Models.

Generalization via analogy in young children and Large Models.

The Deep Learning Revolution: What Does It Tell Us About Our Understanding of Intelligence?

The Deep Learning Revolution: What Does It Tell Us About Our Understanding of Intelligence?

Quantum Supremacy Using a Programmable Superconducting Processor I

Quantum Supremacy Using a Programmable Superconducting Processor I

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